Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set

Jesse Miller; Michael Barlage; Xubin Zeng; Helin Wei; Kenneth Mitchell; Dan Tarpley

doi:10.1029/2006GL026636

Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set

Jesse Miller, Michael Barlage, Xubin Zeng, Helin Wei, Kenneth Mitchell, Dan Tarpley

Research output: Contribution to journal › Article › peer-review

53 Scopus citations

Abstract

Land surface processes are strongly controlled by vegetation cover. Current land surface models represent vegetation as a combination of leaf area index (LAI) and green vegetation fraction (GVF) parameters. The purpose of the study is to examine the impact of a spatially and temporally detailed Moderate Resolution Imaging Spectroradiometer (MODIS)-based GVF on surface processes in the NCEP Noah land surface model. The largest differences between the GVF data set currently used by the Noah model and the new MODIS GVF data set occur in winter and for tree-dominated vegetation classes. The greatest impact of the new GVF data on the surface energy and water balance is seen during the summer, when the transpiration is increased by more than 10 W/m² on average for most vegetation types and the July averaged daily transpiration rate is increased by up to 50 W/m² for evergreen needleleaf sites.

Original language	English (US)
Article number	L13404
Journal	Geophysical Research Letters
Volume	33
Issue number	13
DOIs	https://doi.org/10.1029/2006GL026636
State	Published - Jul 2006

ASJC Scopus subject areas

Geophysics
General Earth and Planetary Sciences

Access to Document

10.1029/2006GL026636

Cite this

@article{f7f1de8286fe4c459b782741df102591,

title = "Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set",

abstract = "Land surface processes are strongly controlled by vegetation cover. Current land surface models represent vegetation as a combination of leaf area index (LAI) and green vegetation fraction (GVF) parameters. The purpose of the study is to examine the impact of a spatially and temporally detailed Moderate Resolution Imaging Spectroradiometer (MODIS)-based GVF on surface processes in the NCEP Noah land surface model. The largest differences between the GVF data set currently used by the Noah model and the new MODIS GVF data set occur in winter and for tree-dominated vegetation classes. The greatest impact of the new GVF data on the surface energy and water balance is seen during the summer, when the transpiration is increased by more than 10 W/m2 on average for most vegetation types and the July averaged daily transpiration rate is increased by up to 50 W/m2 for evergreen needleleaf sites.",

author = "Jesse Miller and Michael Barlage and Xubin Zeng and Helin Wei and Kenneth Mitchell and Dan Tarpley",

year = "2006",

month = jul,

doi = "10.1029/2006GL026636",

language = "English (US)",

volume = "33",

journal = "Geophysical Research Letters",

issn = "0094-8276",

publisher = "John Wiley and Sons Inc.",

number = "13",

}

TY - JOUR

T1 - Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set

AU - Miller, Jesse

AU - Barlage, Michael

AU - Zeng, Xubin

AU - Wei, Helin

AU - Mitchell, Kenneth

AU - Tarpley, Dan

PY - 2006/7

Y1 - 2006/7

N2 - Land surface processes are strongly controlled by vegetation cover. Current land surface models represent vegetation as a combination of leaf area index (LAI) and green vegetation fraction (GVF) parameters. The purpose of the study is to examine the impact of a spatially and temporally detailed Moderate Resolution Imaging Spectroradiometer (MODIS)-based GVF on surface processes in the NCEP Noah land surface model. The largest differences between the GVF data set currently used by the Noah model and the new MODIS GVF data set occur in winter and for tree-dominated vegetation classes. The greatest impact of the new GVF data on the surface energy and water balance is seen during the summer, when the transpiration is increased by more than 10 W/m2 on average for most vegetation types and the July averaged daily transpiration rate is increased by up to 50 W/m2 for evergreen needleleaf sites.

AB - Land surface processes are strongly controlled by vegetation cover. Current land surface models represent vegetation as a combination of leaf area index (LAI) and green vegetation fraction (GVF) parameters. The purpose of the study is to examine the impact of a spatially and temporally detailed Moderate Resolution Imaging Spectroradiometer (MODIS)-based GVF on surface processes in the NCEP Noah land surface model. The largest differences between the GVF data set currently used by the Noah model and the new MODIS GVF data set occur in winter and for tree-dominated vegetation classes. The greatest impact of the new GVF data on the surface energy and water balance is seen during the summer, when the transpiration is increased by more than 10 W/m2 on average for most vegetation types and the July averaged daily transpiration rate is increased by up to 50 W/m2 for evergreen needleleaf sites.

UR - http://www.scopus.com/inward/record.url?scp=33845629713&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33845629713&partnerID=8YFLogxK

U2 - 10.1029/2006GL026636

DO - 10.1029/2006GL026636

M3 - Article

AN - SCOPUS:33845629713

SN - 0094-8276

VL - 33

JO - Geophysical Research Letters

JF - Geophysical Research Letters

IS - 13

M1 - L13404

ER -

Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this